Job Summary

Ariqt is looking for an AI/ML Engineer to design, develop and deploy production-ready machine learning and deep learning models. The role expects hands-on work across model development, data pipelines, and collaboration with product and engineering teams to integrate AI into real-world applications. Interview rounds (for shortlisted candidates) are scheduled starting 8th November 2025 in Hyderabad. :contentReference[oaicite:0]{index=0}

Key Responsibilities

• Design, build and optimize ML/DL models for production use.
• Perform data preprocessing, feature engineering and exploratory data analysis (EDA).
• Develop algorithms and solutions for NLP, computer vision and predictive analytics.
• Evaluate and fine-tune models using appropriate metrics and benchmarks.
• Build data ingestion, cleaning and transformation pipelines (ETL).
• Create visualizations/dashboards and work with cross-functional teams for model integration.
• Experiment with MLOps practices and emerging frameworks for scalable deployments.

(Job details from the Hirist posting.) :contentReference[oaicite:1]{index=1}

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, AI or related field.
• Extensive experience in Python and ML libraries (NumPy, pandas, scikit-learn, TensorFlow/PyTorch).
• Strong statistics, probability and data analysis background.
• Good communicator and team player; experience with cloud platforms (AWS/Azure/GCP) preferred.
• Preferred: experience in NLP, Computer Vision, Reinforcement Learning, and MLOps pipelines. :contentReference[oaicite:2]{index=2}

Salary structure (estimate & guidance)

The Hirist posting does not specify salary. Below are market-based ranges for Hyderabad / India (estimates aggregated from salary sites and market reports). Use these as a benchmark when negotiating:

• Entry / Junior AI/ML Engineer (1–3 yrs): ₹5–12 LPA. :contentReference[oaicite:3]{index=3}
• Mid-level ML Engineer (3–7 yrs): ₹10–22 LPA. :contentReference[oaicite:4]{index=4}
• Senior / Lead ML Engineer (8+ yrs): ₹20–45+ LPA depending on product/company and equity/bonus. :contentReference[oaicite:5]{index=5}

Tip: Ask the recruiter about base vs. variable pay, signing bonus, stock/equity (if offered), and total cost-to-company (CTC) breakdown.

How to prepare for this role

Preparation split into technical, systems and soft-skills rounds:

Technical (Modeling & Coding)

• Brush up on supervised learning, deep learning (CNNs, RNNs/Transformers), and evaluation metrics (precision/recall/F1, AUC, confusion matrix).
• Practice implementing ML pipelines end-to-end in Python — data cleaning, feature engineering, model training, hyperparameter tuning and serialization.
• Hands-on projects with TensorFlow or PyTorch (deploy a small model behind an API to demonstrate production thinking).
• Familiarity with NLP (tokenization, BERT/transformer fine-tuning) and Computer Vision basics if applying for those tracks. :contentReference[oaicite:6]{index=6}

Systems, Deployment & MLOps

• Practice building simple ETL/data pipelines and working knowledge of workflow tools (Airflow, Prefect) and containerization (Docker).
• Understand cloud model deployment using AWS SageMaker, GCP AI Platform, or Azure ML — plus CI/CD basics for ML models.

Interview & Soft Skills

• Prepare to explain past projects end-to-end (problem, dataset, features, model choice, metrics, deployment, lessons learned).
• Expect system-design style questions for ML systems (scalability, inference latency, model monitoring and data drift).
• Behavioural questions: collaboration with product/engineering, conflict resolution, stakeholder communication.

Practice Resources

• Leetcode / InterviewBit for coding; Kaggle notebooks for hands-on modeling; Hugging Face tutorials for modern NLP.
• Work through one production deployment (example: train model → containerize → expose REST endpoint) and include it in your portfolio.

Sample interview questions

1. Explain bias–variance tradeoff and how you’d detect/mitigate it in a production model.
2. Walk us through how you’d deploy an image-classification model with < 100ms inference latency requirement.
3. How do you handle skewed class distributions? Describe techniques and trade-offs.
4. Design a data pipeline for streaming sensor data that feeds an anomaly detection model.

About Ariqt (company snapshot)

Ariqt (Ariqt Global Technologies / Ariqt International) is an AI-led tech firm focused on AI agents, conversational assistants, mobile apps and other enterprise solutions. The company has recently launched a Global Innovation Hub (GIH) in Hyderabad and announced a hiring plan to bring in hundreds of engineers as part of its India expansion. Public company listings and local news reports note Ariqt’s Hyderabad innovation hub and hiring push. :contentReference[oaicite:7]{index=7}

Company legal & financial (public records)

Ariqt Global Technologies Private Limited appears in Indian registrar databases under incorporation date 22 May 2020; public filings and paid-up capital information are available on company-info portals (these entries are useful to cite during due-diligence). Note: detailed audited revenue/profit numbers were not published on the job listing — check company filings or ask the recruiter for recent financials. :contentReference[oaicite:8]{index=8}

Company culture & reviews (what job-seekers report)

• Early-stage/fast-growth environment: hiring and innovation-focused (innovation hub announcements indicate rapid hiring/scale-up).
• International clientele / product orientation — many roles mention working with global clients and cross-functional teams.
• Typical trade-offs: fast-paced growth can mean shifting priorities and hands-on responsibilities beyond strict job descriptions. :contentReference[oaicite:9]{index=9}

Tip: Try to talk with current or ex-employees on LinkedIn for role-specific insights before joining — ask about onboarding, mentorship and review cycles.

Latest trends & company focus (brief)

• Investment in AI chat agents and conversational AI (company website & product pages indicate investment in AI chat agents and enterprise AI solutions). :contentReference[oaicite:10]{index=10}
• Expansion of R&D/Innovation Hub in Hyderabad (press coverage in 2025 highlights the new hub and recruitment plans). :contentReference[oaicite:11]{index=11}
• Focus on integrating AI into products (NLP, CV, productized ML services) and on hiring engineers with full stack ML + deployment skills. :contentReference[oaicite:12]{index=12}

Profits & financial details (what we know)

Public corporate-information portals list Ariqt’s Indian registration and basic capital/AGM dates; however, comprehensive audited revenue/profit details were not available in the job listing. For accurate financials request audited statements directly from the company or search MCA / Registrar filings. :contentReference[oaicite:13]{index=13}

Pros & Cons (for a job-seeker)

How to apply

1. Click the Apply button at the top which links to the Hirist job posting. (Use the Hirist application to submit resume & cover letter.)
2. In your cover letter, highlight one or two production ML projects, the business outcome, and your role in deployment/monitoring.
3. If shortlisted, expect rounds scheduled from 8th November 2025 for Hyderabad (per the listing). :contentReference[oaicite:16]{index=16}

Apply on Hirist