Telesales Executive

The ideal candidate will handle end-to-end HR functions including recruitment, onboarding, employee engagement, payroll support, and statutory compliance.

Key Responsibilities:

Recruitment & Onboarding:

• Develop job descriptions and post job ads on relevant platforms.

• Screen resumes, conduct interviews, and coordinate with hiring managers.

• Facilitate smooth onboarding and orientation processes for new hires.

Qualifications & Skills:

• Bachelor’s degree in Human Resource Management or related field.

• 1–3 years of HR experience (manufacturing or industrial setup preferred but not mandatory).

• Good knowledge of MS Office and HRIS tools.

• Familiarity with labor laws and statutory compliance.

• Strong communication, interpersonal, and problem-solving skills.

• Ability to work independently and as part of a team.

Job Types: Full-time, Permanent

Benefits:

• Leave encashment

• Provident Fund

Ability to commute/relocate:

• Kalher, Thane, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)

Language:

• English (Preferred)

• Hindi (Preferred)

• Marathi (Preferred)

Candidates from Thane, Kalwa, Mulund, Kalher, Purna, Bhiwandi etc preferred.

Job Title: Power Engineer (Interconnection and Power Flow Analysis)

Job Location: Remote (Candidates with US market experience preferred)

Job Type: Full-time

Working Hours: Monday to Friday (2 PM to 11 PM IST)

Compensation: 10 to 12 LPA

About the Client:

Our client is a pioneering AI-driven energy solutions company focused on accelerating the clean energy transition by streamlining grid interconnection processes for renewable energy projects. They leverage generative AI and automation to help developers of solar, storage, and wind farms navigate complex interconnection challenges, reduce delays, and optimize application approvals. By providing real-time insights, technical recommendations, and compliance support, they empower energy developers to efficiently integrate with the power grid, ensuring a faster, smarter, and more sustainable energy future.

Job Overview:

We are seeking a skilled Power Engineer with expertise in interconnection studies, power flow analysis, and grid interconnection processes for renewable energy projects. The ideal candidate will have hands-on experience in ISO/RTO markets, power system modeling, and regulatory compliance. This role requires strong analytical skills, proficiency in industry-standard power flow tools, and the ability to work collaboratively in a fast-paced environment.

Key Responsibilities:

Interconnection Support:

Provide technical support for projects in ISO/RTO interconnection queues, including strategy analysis and tariff advisory.

Prepare and submit interconnection applications, ensuring compliance with grid operator requirements.

Conduct power flow, stability, and affected system studies, assessing material modifications to existing infrastructure.

Assist in load flow analysis for transmission and distribution systems.

Technical Analysis & Modeling:

Utilize industry-standard power flow tools (GE-PSLF, PSS/E, PowerWorld, CYMDIST, TARA, ASPEN, PSCAD) for simulations and analysis.

Ensure accurate data input/output management for interconnection studies.

Research and track power market trends in major ISO/RTO markets to provide policy insights.

Process Optimization & Compliance:

Support modeling and policy analysis for transmission, renewable energy, smart grids, and distribution systems.

Develop process efficiencies and automation to streamline workflows.

Prepare high-quality technical documentation, reports, and regulatory submissions.

Qualifications & Skills:

Must-Have Skills:

Education & Experience:

Master’s degree in Power/Energy Systems or Bachelor’s in Electrical Engineering.

1+ years of experience in power flow analysis and/or interconnection studies.

Exposure to ISO/RTO interconnection processes in the US market.

Technical Skills:

Strong understanding of power flow, stability analysis, and load flow studies.

Hands-on experience with GE-PSLF, PSS/E, PowerWorld, CYMDIST, TARA, ASPEN, PSCAD.

Strong quantitative and modeling skills with a focus on data analysis and database management.

Advanced proficiency in Microsoft Excel and VBA.

Soft Skills:

Ability to manage multiple projects under strict deadlines in a fast-paced environment.

Excellent written and verbal communication skills.

Strong research, analytical, and organizational skills.

Collaborative and team-oriented approach.

Good-to-Have Skills:

Programming knowledge (Excel macro programming, Python, MATLAB, SQL).

Experience in process automation and workflow optimization.

Prior work experience with US-based clients or projects.

Understanding of regulatory frameworks and tariff structures in ISO/RTO markets.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Role & Responsibilities:

• Individuals are responsible for all traditional development activities analysis, design, coding, testing, and documentation.
• Add new features to existing Windows and Web-based applications in Visual Studio 2019. Interacting with internal team.
• Transform business and design needs into innovative products.
• Drive all projects to completion within deadlines.
• Perform thorough testing to find issues ahead of time.
• Engineering software needs more precise analysis & coding skillset 
• Enhance skillset by working with fortune 500 clients
• Interacting with internal team. 

Qualifications:

• B.E in computer science or related fields.
• Hand on development experience with web & database technologies (MS SQL).
• Excellent programming & communication skills Strong problem solving, judgmental, and decision-making skills.
• Ability to work at the tactical and strategic levels of IT initiatives.
• Impressive hands-on experience in .Net technologies. Impressive hands-on experience and knowledge with C#, SQL, JSON, XML, Win Forms & MVC, Angular, JavaScript, jQuery , HTML/CSS.
• Self-Motivated, flexible & Innovative.

• Manage different versions of complicate code and distribute them to different teams in the organization utilizing TFS.
• Develop an ASP.Net application to input and manage a production schedule, production statistical analysis and trend reporting.
• Create routines for importing data utilizing XML, CSV and comma delimitate files.
• Filter and cleanse OLTP data with complex store procedures and SSIS packages in the staging area.
• Develop a dimensional database and OLAP cube using SSAS for analysis, maintenance and good customer service.
• Involve in development and implementation of SSIS, SSRS and SSAS application solutions for various business units across the organization.
• Extract the data from XML and load it to dimensional model.
• Maintain SQL scripts, indexes, complex queries for data analysis and extraction.
• Create advanced reports like dashboard and scoreboard using SharePoint and power pivot for better presentation of data.
• Create cubes in SSAS reports which require complex calculations such as calculation of the premium for a particular policy.
• Create SharePoint sub sites, lists, libraries, folders and apply site permissions according to the given requirement.
• Work with business analysts, subject matter experts, and other team members to determine data extraction and transformation requirements.
• Develop T-SQL functions and store procedures to support complex business requirements.
• Create and configure an OLTP replication database for disaster recovery purpose.
• Designed/Implemented/Maintain OLAP servers and processes to replicate production data to the server.

We are hiring a Recruitment Executive who can take care of hiring and team building.

Job Roles and Responsibilities:

• Coordinate with managers to identify staffing needs.
• Determine selection criteria.
• Source potential candidates through online channels (e.g. Job portals , Social media platforms, Professional networks).
• Plan interview and selection procedures, including screening calls, assessments and in-person interviews.
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System.
• Design job descriptions and interview questions that reflect each position's requirements.
• Lead employer branding initiatives and manage a team of Recruitment executives.
• Forecast monthly, quarterly and annual hiring needs by department.
• Foster long-term relationships with past applicants and potential candidates.

Requirements:

• Must have experience in Non IT and leadership roles hiring, preferably for startups.
• Proven work experience (minimum 3+ years) as a Recruitment Specialist or similar role.
• Experience in volume/bulk hiring for Sales roles.
• Familiarity with social media, resume databases and professional networks.
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods.
• Excellent verbal and written communication skills.
• A keen understanding of the differences between various roles within organisations.
• B-Tech or MBA in Human Resources Management.

• Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
• Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
• Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
• Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

• Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
• 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
• Technical expertise with data models, data mining.
• Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
• Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
• Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
• Hands-on knowledge in SQL and No-SQL database design.
• Having knowledge in CI/CD for the building and hosting of the solutions.
• Having AWS certification is an added advantage.
• Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
• A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
• A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists

• 3-5 Years of experience in Backend Development.
• Must have experience in Python (FLASK framework).
• Have a Deep understanding of how RESTful APIs work.
• Familiar with various design and architectural patterns that can work at scale.
• Sound knowledge of NoSQL/SQL Databases (Mongo DB preferred).
• Strong experience with at-Cloud technology, preferably AWS or GCP, or Azure.
• Core experience in developing complex backend systems.
• Communicating complex technical concepts to both technical and non-technical audiences.
• Passionate about application scalability, availability, reliability, and security.