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

Dear,

Greetings from Unify Technologies..!!

I hope you are doing well, Im reaching out from Unify Technologies - Hyderabad.

We have followed the Job Opportunity at our company, please go through the job details and let us know if you are interested.

Our Company: Unify Technologies

Our Website:

Linked In:

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 : (3-10Yrs) - 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 8–10 years of total experience, with 3+ years in a Tech Lead or Solution Architect role.

• Experience leading small, agile AI/ML delivery teams (3–5 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.

Kindly reply to this mail with the following details if you are interested in applying for this position to bindumadhurij@unifytech.com

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