Immediate Openings :: AI/ML Developer -Permanent Role - Remote

Our Company: Unify Technologies

Our Website: http://unifytech.com/

Linked In: https://www.linkedin.com/company/9206998

Offices in: Hyderabad, Bangalore, Pune, Gurgaon India, and Seattle-USA

Industry/Domain: Product Engineering Big Data, Healthcare, Cyber Security, Mobile.

Few words about Unify Technologies: Unify a Digital Engineering company. We help our clients by providing Digital Engineering Services to develop high-quality products. We have extensive experience in software product engineering and a successful track record of delivering on aggressive delivery plans without compromising on the quality in Cloud, Mobile, and Data practices.

Job Title:

Experience : (8-10Yrs) - Remote Work - Full Time - Permanent Role

Tech Lead AI/ML for Operational Performance & Risk Prediction

Location: Work From Home (India)

Duration: Permanent Role Engagement

Type: Full-time Immediate Joiners Only

Role Overview :

We are seeking a hands-on Tech Lead to own the architecture, development, and delivery of AI-driven solutions that analyze operational performance, predict risks, and optimize workforce efficiency. This is a permanent position for someone who thrives on solving complex business problems with AI/ML, leading small agile teams, and delivering measurable results in a client-facing environment.

Must-Have Skills & Experience Technical Expertise

• AI/ML Modeling:

Strong experience with XGBoost, LightGBM, and Facebook Prophet (time series forecasting).

Proven track record in predictive analytics for operational performance and risk modeling.

Hands-on experience in model explainability (e.g., SHAP, LIME).

• Data Engineering & Integration:

Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow basics).

ETL pipeline development using Azure Data Factory or Apache Airflow.

Experience with SQL (PostgreSQL / MySQL / MS SQL Server).

• Cloud Stack:

Azure (Data Lake, Synapse, Machine Learning Studio) must be proficient.

Deployment of ML models via Azure ML endpoints or containerized solutions.

• MLOps & Versioning:

GitHub/GitLab CI/CD integration.

Model lifecycle management & experiment tracking (MLflow, DVC).

Domain Knowledge

• Understanding of field workforce performance metrics, compliance, and KPI-based vendor evaluation.
• Ability to design a balanced scorecard mapping operational KPIs to financial outcomes.

Leadership & Delivery

Minimum 810 years of total experience, with 3+ years in a Tech Lead or Solution Architect role.

• Experience leading small, agile AI/ML delivery teams (35 engineers).
• Ability to engage with SMEs and translate business goals into technical deliverables.
• Strong communication skills for working with both technical and operations stakeholders.

Nice-to-Have Skills

• Experience with synthetic data generation for AI training.
• Knowledge of audio analytics for operational or maintenance insights.
• Exposure to open-source RAG frameworks (LangChain, Haystack) for operational intelligence.
• Familiarity with rules-engine integration (e.g., Drools) for hybrid AI + deterministic logic solutions.

Key Responsibilities

• Lead solution design, architecture, and technical delivery of AI-driven operational insights.
• Ingest and preprocess historical operational, safety, and financial datasets.
• Build predictive models for workforce performance, delays, and compliance risks.
• Implement model explainability for stakeholder trust and adoption. Integrate outputs into an Azure-based environment.
• Ensure data security and compliance with NDA and IT policies.
• Conduct knowledge transfer to internal and client teams. Engagement Expectations
• Immediate joiners only must be ready to start within 5 business days.
• Availability for daily standups and weekly stakeholder reviews.
• Flexible to work in overlapping hours with US Pacific Time for stakeholder sync.

Good to have: Tier 1 and company candidate