Senior Director – Strategy (Data & Analytics)

Job Summary:

We are looking for an enthusiastic and motivated Recruiter (Fresher) to join our HR team. The ideal candidate will be responsible for supporting the end-to-end recruitment process, sourcing candidates, and coordinating interviews. This role is perfect for someone starting their career in Human Resources and talent acquisition.

Key Responsibilities:

• Assist in sourcing candidates through job portals, social media, and other platforms
• Screen resumes and shortlist candidates based on job requirements
• Schedule and coordinate interviews between candidates and hiring managers
• Conduct initial HR screening calls
• Maintain and update candidate databases and recruitment trackers
• Post job openings on various job boards and company career pages
• Follow up with candidates regarding interview status and feedback
• Support onboarding activities and documentation

Required Skills & Qualifications:

• Bachelor’s degree in Human Resources, Business Administration, or related field
• Strong communication and interpersonal skills
• Basic understanding of recruitment processes
• Familiarity with job portals (like Naukri, LinkedIn) is a plus
• Good organizational and time management skills
• Ability to multitask and work in a fast-paced environment

Key Responsibilities:

• Develop and implement effective recruitment strategies to meet staffing needs.
• Source candidates through job boards, social media, and networking.
• Conduct interviews and assess candidates' qualifications.
• Coordinate with hiring managers to understand position requirements.
• Maintain a positive candidate experience throughout the hiring process.
• Assist in the development of employer branding initiatives.

Qualifications:

• Proven experience in talent acquisition or recruitment.
• Strong communication and interpersonal skills.
• Ability to manage multiple recruitment projects simultaneously.
• Familiarity with applicant tracking systems (ATS) and recruiting tools.

Requires that any candidate know the M365 Collaboration environment. SharePoint Online, MS Teams. Exchange Online, Entra and Purview. Need developer that possess a strong understanding of Data Structure, Problem Solving abilities, SQL, PowerShell, MS Teams App Development, Python, Visual Basic, C##, JavaScript, Java, HTML, PHP, C.

TensorIoT: 

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

• You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry
• You will have the flexibility to manage your days in support of our commitment to work/life balance
• You will join a culture that has received multiple top “Places to Work” awards
• We believe that great work is accomplished when cultures, ideas and experiences come together to create new solutions
• We understand that embracing our differences is what unites us as a team and strengthens our foundation
• Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work
• Numerous Employee Resource Groups (ERGs) to support our Diversity, Equity, & Inclusion (DE&I) efforts

What Work You Will be Responsible For:

• Delivering a full range of Partnership tax services for Financial Services Clients in compliance with laws and regulations within timeframe.

• Building relationships and interacting with clients to provide excellent planning, consulting and expertise.

• Providing tax planning and reviewing complex 1065 tax returns of Hedge Funds, Private Equity Funds, Venture Capital Funds, Fund of Funds and similar complex structures.

• Review and managing of the Tax returns and supporting Work papers as per US Tax Law

Compliances for:

• Form 1065, Schedules K-1,K-2,K-3
• State and Local Tax compliances
• International filling compliances

• You will be involved in all aspects of tax assignments from planning and projections to finalization.

• You will be responsible to identify tax issues and propose potential solutions to resolve them.

• You will have an opportunity to work directly with the clients and provide exemplary client service that exceeds their expectations.

• You will receive direct and comprehensive training from our Manager and Senior Managers as well as on the job training.

• As a part of our client's team, you will have an opportunity to work seamlessly with US counter parts by utilizing our state of the art technology and electronic office tools and processes.

• Excellent opportunity to learn complex tax issues affecting US and Global investment
• 
  

• Manage, train, and develop staff. Participate in the performance review process
• Volunteer for our firms technology initiatives.

Basic Qualifications:

• Bachelor’s degree in Accounting or equivalent field is required
•  3+ years of progressive US/Global taxation experience

Preferred/Desired Qualifications:

• CPA/CA or Enrolled Agent shall be an added advantage
• Experience working directly with clients and/or global counterparts
• Experience working with financial services clients.

We strongly believe in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, EisnerAmper is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or protected veteran status, citizenship, or other protected characteristics under federal, state, or local law.

About Us:

We are BlackLight Games; we bring culturally relevant synchronous multiplayer games experience to mobile. Our games have been rocking the Play Stores since launch. We have built cutting-edge back-end technology; we take pride that our games are played by more than 1 million players daily. Our flagship game, Ludo SuperStar has been downloaded more than 100 million times. Other titles include – CallBreak, Carrom, Solitaire, Spider Solitaire and Word games.

Website link- https://blacklightsw.com/

Position: Full Stack Developer

Location: Noida

Educational Qualification: B.Tech/ MCA / M.Tech / M.Sc  or relevant professional experience; preferably in Computer Science.

Skills :

• Frontend: HTML5, CSS3, JavaScript, Ajax
• Backend: J2EE,MERN
• Databases: MySQL/ MongoDB.

Job Summary:

We are looking for a skilled Full Stack Developer to join our team. As a Full Stack Developer, you will be responsible for developing and maintaining both front-end and back-end applications. Your expertise in HTML5, CSS3, JavaScript, Ajax, J2EE, and databases such as MySQL/MongoDB will be essential in creating robust and user-friendly web applications.

Responsibilities:

• Develop and maintain web applications using HTML5, CSS3, JavaScript, and Ajax for the front-end.
• Implement J2EE for the back-end development, ensuring seamless integration with the front-end.
• Design and maintain databases using MySQL or MongoDB, ensuring efficient data storage and retrieval.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
• Write clean, efficient, and maintainable code following industry best practices.
• Conduct testing and debugging to ensure application functionality and performance.
• Stay updated with emerging technologies and industry trends to continuously improve skills and knowledge.
• Participate in code reviews and provide feedback to ensure code quality and adherence to standards.

Requirements:

• Proficiency in HTML5, CSS3, JavaScript, and Ajax for front-end development.
• Strong experience in J2EE for back-end development.
• Familiarity with databases such as MySQL or MongoDB for data storage and retrieval.
• Knowledge of web development frameworks and libraries.
• Solid understanding of software development principles and best practices.
• Excellent problem-solving and analytical skills.

Why Us?

• High Growth Startup environment 
• Company sponsored courses and education material
• Lots of learning opportunities 
• Work with a super-talented team of professionals
• Informal work-culture, Casual Dress Code, multiple outings and trips
• Performance Based Bonus
• Competitive Salary
• Medical Insurance for you and your family 
• Subsidies Lunch and Unlimited Snacks, Tea & Coffee in the house at all times