Data Scientists - Enterprise AI, ML & Advanced Analytics Hatchtra Innotech

5.0 - 10.0 years

15 - 30 Lacs

mumbai, bengaluru, delhi / ncr

Hybrid

Were Hiring: Data Scientists Enterprise AI, ML & Advanced Analytics (30+ Openings | 3-20 Yrs Exp | Multiple Levels) Location: Mumbai / Pune / Chandigarh / Bengaluru / Gurugram / Noida / New Delhi / Kolkata / Hyderabad / Chennai (Remote and Hybrid options are available for some roles) Industry: Fortune 500 Client Projects (Staffing via Hatchtra Innotech Pvt Ltd) Employment Type: Full-Time | Contract (C2H) About us: Hatchtra is a leading staffing and workforce solutions company, trusted by Fortune 500 organizations and global enterprises to build their technology teams. When you join us, you'll work directly with our Fortune 500 client teams that power mission-critical systems worldwide. About the Role We are seeking Data Scientists (3-20 years) to deliver advanced analytics, AI, and machine learning solutions for global enterprises. This role is perfect for professionals who thrive on solving complex business problems, building predictive models, and driving data-driven innovation at scale. As part of world-class analytics teams, youll work on enterprise AI initiatives, ML model deployment, NLP, computer vision, and generative AI use cases to transform business outcomes. Open Positions & Designations Associate Data Scientist / Junior ML Engineer (3–5 Yrs) Data Scientist / Senior Data Scientist (5–10 Yrs) Lead Data Scientist / AI Engineer (8–12 Yrs) Principal Data Scientist / AI Solutions Architect (10–15 Yrs) Director – Data Science & AI Strategy (15–20 Yrs) Key Responsibilities (Scale with Level) Professional (3–5 Yrs) Clean, preprocess, and analyze structured and unstructured data for model building. Build and evaluate ML models (classification, regression, clustering). Work with Python, R, and libraries like Scikit-learn, TensorFlow, PyTorch . Support data preparation, feature engineering, and exploratory data analysis (EDA). Create basic dashboards and visualizations to share findings with stakeholders. Collaborate with data engineers to productionize analytics pipelines. Mid-Level (5–10 Yrs) Design and deploy end-to-end ML/AI solutions in enterprise environments. Develop deep learning models for NLP, computer vision, and recommendation systems. Integrate ML pipelines with cloud data platforms (AWS SageMaker, Azure ML, GCP Vertex AI). Implement MLOps best practices for model lifecycle management. Conduct advanced statistical modeling, A/B testing, and causal inference. Mentor junior team members and lead analytics initiatives. Senior/Leadership (10–20 Yrs) Define and execute enterprise AI and data science strategy . Lead AI innovation programs (Generative AI, LLMs, reinforcement learning). Partner with executives to drive AI-driven digital transformation initiatives . Build and manage global data science teams and delivery frameworks. Ensure AI/ML governance, ethical AI compliance, and data privacy standards. Represent organization in AI/ML conferences, publications, and thought leadership . Skills & Tools Core Skills: Machine Learning, Deep Learning, NLP, Predictive Modeling, AI Solutions Programming: Python, R, SQL, Java, Scala ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers Cloud AI Platforms: AWS SageMaker, Azure ML, GCP Vertex AI Big Data: Spark, Databricks, Snowflake, BigQuery, Redshift Visualization: Power BI, Tableau, Matplotlib, Seaborn MLOps Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes Preferred Certifications: Google Professional Machine Learning Engineer AWS Certified Machine Learning – Specialty Microsoft Certified: Azure AI Engineer Associate Qualifications Bachelor’s/Master’s/PhD in Data Science, Computer Science, Statistics, Mathematics, or related field. 3+ years of experience in data science, AI, or advanced analytics roles. Proven expertise in building ML/DL models and deploying them in production. Experience with big data ecosystems and cloud AI platforms . For leadership roles: Strong experience in strategy, innovation, and global team management. Why Join Us? Collaborate with Fortune 500 enterprises on AI-first transformation projects . Work on cutting-edge ML, deep learning, NLP, and generative AI initiatives . Exposure to global projects, certifications, and leadership opportunities . Competitive compensation, remote flexibility, and global career growth. How to Apply For quick consideration, please email your resume and include the desired position and experience level (e.g., “Data Engineer – Mid-Level”) in the subject line.

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